Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Please provide your email address to receive an email when new articles are posted on . LAS VEGAS – A trained convolutional neural network detected key cholangioscopy image features suggestive of ...

“In-memory computing (IMC) is a non-von Neumann paradigm that has recently established itself as a promising approach for energy-efficient, high throughput hardware for deep learning applications. One ...

Deep neural networks can perform wonderful feats, thanks to their extremely large and complicated web of parameters. But their complexity is also their curse: The inner workings of neural networks are ...

Scientists from Tokyo Metropolitan University have used machine learning to automate the identification of defects in sister chromatid cohesion. They trained a convolutional neural network (CNN) with ...

Proof of the absence of barren plateaus for a special type of quantum neural network. The work provides trainability guarantees for this architecture, meaning that one can generically train its ...

Please provide your email address to receive an email when new articles are posted on . Specificity and accuracy rates were higher among convolutional neural networks (CNNs). Dermatologists with fewer ...